Pandas Profiling Report

Dataset statistics

Number of variables	28
Number of observations	131
Missing cells	73
Missing cells (%)	2.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	28.8 KiB
Average record size in memory	225.0 B

Variable types

Numeric	9
Categorical	19

Alerts

`airdate` has constant value "2020-12-31"	Constant
`url` has a high cardinality: 131 distinct values	High cardinality
`name` has a high cardinality: 106 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 71 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 71 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 56 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 62 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 61 distinct values	High cardinality
`_links_self_href` has a high cardinality: 131 distinct values	High cardinality
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`season` is highly correlated with `number` and 1 other fields	High correlation
`number` is highly correlated with `season` and 2 other fields	High correlation
`runtime` is highly correlated with `number` and 2 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `season` and 3 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_ended` and 12 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`summary` is highly correlated with `airdate`	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 12 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 5 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 5 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 14 other fields	High correlation
`airtime` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_ended` and 6 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 13 other fields	High correlation
`_embedded_show_language` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`id` is highly correlated with `season` and 17 other fields	High correlation
`season` is highly correlated with `id` and 10 other fields	High correlation
`number` is highly correlated with `id` and 10 other fields	High correlation
`type` is highly correlated with `airtime` and 10 other fields	High correlation
`airtime` is highly correlated with `type` and 13 other fields	High correlation
`airstamp` is highly correlated with `id` and 18 other fields	High correlation
`runtime` is highly correlated with `season` and 14 other fields	High correlation
`summary` is highly correlated with `_embedded_show_id` and 2 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 20 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_type` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_language` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_status` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `season` and 17 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_ended` is highly correlated with `id` and 17 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_weight` is highly correlated with `id` and 16 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `id` and 10 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 21 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 15 other fields	High correlation
`number` has 5 (3.8%) missing values	Missing
`runtime` has 14 (10.7%) missing values	Missing
`_embedded_show_runtime` has 42 (32.1%) missing values	Missing
`_embedded_show_averageRuntime` has 12 (9.2%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique
`_embedded_show_weight` has 6 (4.6%) zeros	Zeros

Reproduction

Analysis started	2022-05-10 02:24:16.837793
Analysis finished	2022-05-10 02:24:50.773975
Duration	33.94 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2046277.969

Minimum	1949329
Maximum	2324433
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1949329
5-th percentile	1949335.5
Q1	1996544
median	2001669
Q3	2039622.5
95-th percentile	2312227.5
Maximum	2324433
Range	375104
Interquartile range (IQR)	43078.5

Descriptive statistics

Standard deviation	106247.1195
Coefficient of variation (CV)	0.05192213427
Kurtosis	1.80260106
Mean	2046277.969
Median Absolute Deviation (MAD)	16185
Skewness	1.759037673
Sum	268062414
Variance	1.12884504 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1977902	1	0.8%
2001669	1	0.8%
2001667	1	0.8%
2001666	1	0.8%
2001665	1	0.8%
2000073	1	0.8%
2000072	1	0.8%
1997538	1	0.8%
1997537	1	0.8%
1988405	1	0.8%
Other values (121)	121	92.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1949329	1	0.8%
1949330	1	0.8%
1949331	1	0.8%
1949332	1	0.8%
1949333	1	0.8%
1949334	1	0.8%
1949335	1	0.8%
1949336	1	0.8%
1950369	1	0.8%
1950703	1	0.8%

Value	Count	Frequency (%)
2324433	1	0.8%
2324432	1	0.8%
2324430	1	0.8%
2324429	1	0.8%
2324428	1	0.8%
2324427	1	0.8%
2312228	1	0.8%
2312227	1	0.8%
2312226	1	0.8%
2312225	1	0.8%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

https://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-15	1
https://www.tvmaze.com/episodes/2001669/three-men-four-wheels-1x05-episode-5	1
https://www.tvmaze.com/episodes/2001667/three-men-four-wheels-1x03-episode-3	1
https://www.tvmaze.com/episodes/2001666/three-men-four-wheels-1x02-episode-2	1
https://www.tvmaze.com/episodes/2001665/three-men-four-wheels-1x01-episode-1	1
Other values (126)	126

Length

Max length	145
Median length	105
Mean length	81.61068702
Min length	59

Characters and Unicode

Total characters	10691
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	131 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-15
2nd row	https://www.tvmaze.com/episodes/2015818/po-sezonu-videodajdzest-seasonvar-6x53-vypusk-307
3rd row	https://www.tvmaze.com/episodes/1964000/257-pricin-ctoby-zit-2x10-seria-23
4th row	https://www.tvmaze.com/episodes/1995405/proekt-anna-nikolaevna-s02-special-nacalo
5th row	https://www.tvmaze.com/episodes/2007760/stand-up-autsajd-1x12-aroslav-kondrasov

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-15	1	0.8%
https://www.tvmaze.com/episodes/2001669/three-men-four-wheels-1x05-episode-5	1	0.8%
https://www.tvmaze.com/episodes/2001667/three-men-four-wheels-1x03-episode-3	1	0.8%
https://www.tvmaze.com/episodes/2001666/three-men-four-wheels-1x02-episode-2	1	0.8%
https://www.tvmaze.com/episodes/2001665/three-men-four-wheels-1x01-episode-1	1	0.8%
https://www.tvmaze.com/episodes/2000073/ultimate-note-1x26-episode-26	1	0.8%
https://www.tvmaze.com/episodes/2000072/ultimate-note-1x25-episode-25	1	0.8%
https://www.tvmaze.com/episodes/1997538/the-penalty-zone-1x30-episode-30	1	0.8%
https://www.tvmaze.com/episodes/1997537/the-penalty-zone-1x29-episode-29	1	0.8%
https://www.tvmaze.com/episodes/1988405/love-teenager-1x03-my-best-friends-guy-friend-likes-me	1	0.8%
Other values (121)	121	92.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-15	1	0.8%
https://www.tvmaze.com/episodes/2312225/unsolved-cases-of-kung-fu-portrait-of-beauty-1x09-episode-9	1	0.8%
https://www.tvmaze.com/episodes/1964000/257-pricin-ctoby-zit-2x10-seria-23	1	0.8%
https://www.tvmaze.com/episodes/1995405/proekt-anna-nikolaevna-s02-special-nacalo	1	0.8%
https://www.tvmaze.com/episodes/2007760/stand-up-autsajd-1x12-aroslav-kondrasov	1	0.8%
https://www.tvmaze.com/episodes/1985789/theres-a-pit-in-my-senior-martial-brothers-brain-2x11-episode-11	1	0.8%
https://www.tvmaze.com/episodes/2039622/witches-1x05-episode-5	1	0.8%
https://www.tvmaze.com/episodes/2039623/witches-1x06-episode-6	1	0.8%
https://www.tvmaze.com/episodes/2324427/unique-lady-2x15-episode-15	1	0.8%
https://www.tvmaze.com/episodes/2324428/unique-lady-2x16-episode-16	1	0.8%
Other values (121)	121	92.4%

Most occurring characters

Value	Count	Frequency (%)
e	971	9.1%
-	846	7.9%
s	693	6.5%
/	655	6.1%
t	635	5.9%
o	537	5.0%
w	446	4.2%
i	409	3.8%
a	402	3.8%
p	376	3.5%
Other values (30)	4721	44.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7305	68.3%
Decimal Number	1492	14.0%
Other Punctuation	1048	9.8%
Dash Punctuation	846	7.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	971	13.3%
s	693	9.5%
t	635	8.7%
o	537	7.4%
w	446	6.1%
i	409	5.6%
a	402	5.5%
p	376	5.1%
m	354	4.8%
d	322	4.4%
Other values (16)	2160	29.6%

Decimal Number

Value	Count	Frequency (%)
1	263	17.6%
2	245	16.4%
0	240	16.1%
9	158	10.6%
3	127	8.5%
6	97	6.5%
8	94	6.3%
7	92	6.2%
4	91	6.1%
5	85	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	655	62.5%
.	262	25.0%
:	131	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	846	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7305	68.3%
Common	3386	31.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	971	13.3%
s	693	9.5%
t	635	8.7%
o	537	7.4%
w	446	6.1%
i	409	5.6%
a	402	5.5%
p	376	5.1%
m	354	4.8%
d	322	4.4%
Other values (16)	2160	29.6%

Common

Value	Count	Frequency (%)
-	846	25.0%
/	655	19.3%
1	263	7.8%
.	262	7.7%
2	245	7.2%
0	240	7.1%
9	158	4.7%
:	131	3.9%
3	127	3.8%
6	97	2.9%
Other values (4)	362	10.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10691	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	971	9.1%
-	846	7.9%
s	693	6.5%
/	655	6.1%
t	635	5.9%
o	537	5.0%
w	446	4.2%
i	409	3.8%
a	402	3.8%
p	376	3.5%
Other values (30)	4721	44.2%

name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	106
Distinct (%)	80.9%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Episode 7	7
Episode 8	4
Episode 9	3
Episode 5	3
Episode 15	3
Other values (101)	111

Length

Max length	60
Median length	53
Mean length	17.17557252
Min length	6

Characters and Unicode

Total characters	2250
Distinct characters	135
Distinct categories	11 ?
Distinct scripts	4 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	91 ?
Unique (%)	69.5%

Sample

1st row	Серия 15
2nd row	Выпуск 307
3rd row	Серия 23
4th row	Начало
5th row	Ярослав Кондрашов

Common Values

Value	Count	Frequency (%)
Episode 7	7	5.3%
Episode 8	4	3.1%
Episode 9	3	2.3%
Episode 5	3	2.3%
Episode 15	3	2.3%
Episode 17	2	1.5%
Episode 20	2	1.5%
Episode 4	2	1.5%
Episode 18	2	1.5%
Episode 19	2	1.5%
Other values (96)	101	77.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	55	13.2%
the	24	5.7%
7	8	1.9%
of	8	1.9%
chapter	8	1.9%
	7	1.7%
8	4	1.0%
15	4	1.0%
with	4	1.0%
i	4	1.0%
Other values (235)	292	69.9%

Most occurring characters

Value	Count	Frequency (%)
	287	12.8%
e	209	9.3%
i	123	5.5%
o	112	5.0%
s	101	4.5%
d	92	4.1%
r	80	3.6%
p	72	3.2%
a	72	3.2%
t	71	3.2%
Other values (125)	1031	45.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1453	64.6%
Uppercase Letter	307	13.6%
Space Separator	287	12.8%
Decimal Number	134	6.0%
Other Punctuation	39	1.7%
Other Letter	12	0.5%
Dash Punctuation	10	0.4%
Connector Punctuation	2	0.1%
Open Punctuation	2	0.1%
Close Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	209	14.4%
i	123	8.5%
o	112	7.7%
s	101	7.0%
d	92	6.3%
r	80	5.5%
p	72	5.0%
a	72	5.0%
t	71	4.9%
n	67	4.6%
Other values (48)	454	31.2%

Uppercase Letter

Value	Count	Frequency (%)
E	62	20.2%
T	37	12.1%
M	16	5.2%
D	15	4.9%
S	14	4.6%
I	11	3.6%
B	11	3.6%
W	11	3.6%
F	10	3.3%
C	10	3.3%
Other values (35)	110	35.8%

Decimal Number

Value	Count	Frequency (%)
1	32	23.9%
2	22	16.4%
7	14	10.4%
3	13	9.7%
0	12	9.0%
5	10	7.5%
6	10	7.5%
8	8	6.0%
4	7	5.2%
9	6	4.5%

Other Letter

Value	Count	Frequency (%)
ي	2	16.7%
ل	2	16.7%
ا	2	16.7%
ه	1	8.3%
ة	1	8.3%
ب	1	8.3%
ن	1	8.3%
و	1	8.3%
س	1	8.3%

Other Punctuation

Value	Count	Frequency (%)
.	15	38.5%
:	8	20.5%
,	6	15.4%
'	6	15.4%
!	2	5.1%
…	1	2.6%
/	1	2.6%

Space Separator

Value	Count	Frequency (%)
	287	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	10	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1552	69.0%
Common	478	21.2%
Cyrillic	208	9.2%
Arabic	12	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	209	13.5%
i	123	7.9%
o	112	7.2%
s	101	6.5%
d	92	5.9%
r	80	5.2%
p	72	4.6%
a	72	4.6%
t	71	4.6%
n	67	4.3%
Other values (49)	553	35.6%

Cyrillic

Value	Count	Frequency (%)
о	24	11.5%
а	19	9.1%
в	15	7.2%
р	10	4.8%
и	9	4.3%
е	9	4.3%
д	9	4.3%
л	8	3.8%
Г	8	3.8%
н	7	3.4%
Other values (34)	90	43.3%

Common

Value	Count	Frequency (%)
	287	60.0%
1	32	6.7%
2	22	4.6%
.	15	3.1%
7	14	2.9%
3	13	2.7%
0	12	2.5%
-	10	2.1%
5	10	2.1%
6	10	2.1%
Other values (13)	53	11.1%

Arabic

Value	Count	Frequency (%)
ي	2	16.7%
ل	2	16.7%
ا	2	16.7%
ه	1	8.3%
ة	1	8.3%
ب	1	8.3%
ن	1	8.3%
و	1	8.3%
س	1	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2017	89.6%
Cyrillic	208	9.2%
None	12	0.5%
Arabic	12	0.5%
Punctuation	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	287	14.2%
e	209	10.4%
i	123	6.1%
o	112	5.6%
s	101	5.0%
d	92	4.6%
r	80	4.0%
p	72	3.6%
a	72	3.6%
t	71	3.5%
Other values (63)	798	39.6%

Cyrillic

Value	Count	Frequency (%)
о	24	11.5%
а	19	9.1%
в	15	7.2%
р	10	4.8%
и	9	4.3%
е	9	4.3%
д	9	4.3%
л	8	3.8%
Г	8	3.8%
н	7	3.4%
Other values (34)	90	43.3%

None

Value	Count	Frequency (%)
ı	3	25.0%
ö	3	25.0%
ş	1	8.3%
Ö	1	8.3%
ü	1	8.3%
é	1	8.3%
ç	1	8.3%
ã	1	8.3%

Arabic

Value	Count	Frequency (%)
ي	2	16.7%
ل	2	16.7%
ا	2	16.7%
ه	1	8.3%
ة	1	8.3%
ب	1	8.3%
ن	1	8.3%
و	1	8.3%
س	1	8.3%

Punctuation

Value	Count	Frequency (%)
…	1	100.0%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	9.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	125.9694656

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	484.9189296
Coefficient of variation (CV)	3.849495805
Kurtosis	11.93271429
Mean	125.9694656
Median Absolute Deviation (MAD)	1
Skewness	3.707925458
Sum	16502
Variance	235146.3683
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	64	48.9%
2	25	19.1%
3	12	9.2%
4	11	8.4%
2020	8	6.1%
5	3	2.3%
6	2	1.5%
8	1	0.8%
7	1	0.8%
51	1	0.8%
Other values (3)	3	2.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	64	48.9%
2	25	19.1%
3	12	9.2%
4	11	8.4%
5	3	2.3%
6	2	1.5%
7	1	0.8%
8	1	0.8%
9	1	0.8%
15	1	0.8%

Value	Count	Frequency (%)
2020	8	6.1%
51	1	0.8%
31	1	0.8%
15	1	0.8%
9	1	0.8%
8	1	0.8%
7	1	0.8%
6	2	1.5%
5	3	2.3%
4	11	8.4%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	30.2%
Missing	5
Missing (%)	3.8%
Infinite	0
Infinite (%)	0.0%
Mean	20.30952381

Minimum	1
Maximum	358
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	5
median	8
Q3	16.75
95-th percentile	53
Maximum	358
Range	357
Interquartile range (IQR)	11.75

Descriptive statistics

Standard deviation	51.05047922
Coefficient of variation (CV)	2.513622658
Kurtosis	33.90343148
Mean	20.30952381
Median Absolute Deviation (MAD)	4
Skewness	5.761386224
Sum	2559
Variance	2606.151429
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
7	11	8.4%
8	10	7.6%
3	8	6.1%
4	8	6.1%
2	8	6.1%
5	8	6.1%
6	7	5.3%
9	6	4.6%
1	6	4.6%
10	6	4.6%
Other values (28)	48	36.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	4.6%
2	8	6.1%
3	8	6.1%
4	8	6.1%
5	8	6.1%
6	7	5.3%
7	11	8.4%
8	10	7.6%
9	6	4.6%
10	6	4.6%

Value	Count	Frequency (%)
358	1	0.8%
324	1	0.8%
323	1	0.8%
72	1	0.8%
55	1	0.8%
53	3	2.3%
50	1	0.8%
38	1	0.8%
37	1	0.8%
34	1	0.8%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

regular	126
insignificant_special	3
significant_special	2

Length

Max length	21
Median length	7
Mean length	7.503816794
Min length	7

Characters and Unicode

Total characters	983
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	significant_special
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	126	96.2%
insignificant_special	3	2.3%
significant_special	2	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	126	96.2%
insignificant_special	3	2.3%
significant_special	2	1.5%

Most occurring characters

Value	Count	Frequency (%)
r	252	25.6%
a	136	13.8%
e	131	13.3%
g	131	13.3%
l	131	13.3%
u	126	12.8%
i	23	2.3%
n	13	1.3%
s	10	1.0%
c	10	1.0%
Other values (4)	20	2.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	978	99.5%
Connector Punctuation	5	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	252	25.8%
a	136	13.9%
e	131	13.4%
g	131	13.4%
l	131	13.4%
u	126	12.9%
i	23	2.4%
n	13	1.3%
s	10	1.0%
c	10	1.0%
Other values (3)	15	1.5%

Connector Punctuation

Value	Count	Frequency (%)
_	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	978	99.5%
Common	5	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	252	25.8%
a	136	13.9%
e	131	13.4%
g	131	13.4%
l	131	13.4%
u	126	12.9%
i	23	2.4%
n	13	1.3%
s	10	1.0%
c	10	1.0%
Other values (3)	15	1.5%

Common

Value	Count	Frequency (%)
_	5	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	983	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	252	25.6%
a	136	13.8%
e	131	13.3%
g	131	13.3%
l	131	13.3%
u	126	12.8%
i	23	2.3%
n	13	1.3%
s	10	1.0%
c	10	1.0%
Other values (4)	20	2.0%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2020-12-31	131

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1310
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-31
2nd row	2020-12-31
3rd row	2020-12-31
4th row	2020-12-31
5th row	2020-12-31

Common Values

Value	Count	Frequency (%)
2020-12-31	131	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-31	131	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	393	30.0%
0	262	20.0%
-	262	20.0%
1	262	20.0%
3	131	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1048	80.0%
Dash Punctuation	262	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	393	37.5%
0	262	25.0%
1	262	25.0%
3	131	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	262	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1310	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	393	30.0%
0	262	20.0%
-	262	20.0%
1	262	20.0%
3	131	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1310	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	393	30.0%
0	262	20.0%
-	262	20.0%
1	262	20.0%
3	131	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	14
Distinct (%)	10.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	98
12:00	10
21:00	9
20:00	3
19:00	2
Other values (9)	9

Length

Max length	5
Median length	3
Mean length	3.503816794
Min length	3

Characters and Unicode

Total characters	459
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9 ?
Unique (%)	6.9%

Sample

1st row	10:00
2nd row	nan
3rd row	nan
4th row	nan
5th row	12:00

Common Values

Value	Count	Frequency (%)
nan	98	74.8%
12:00	10	7.6%
21:00	9	6.9%
20:00	3	2.3%
19:00	2	1.5%
10:00	1	0.8%
11:00	1	0.8%
06:00	1	0.8%
17:00	1	0.8%
18:00	1	0.8%
Other values (4)	4	3.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	98	74.8%
12:00	10	7.6%
21:00	9	6.9%
20:00	3	2.3%
19:00	2	1.5%
10:00	1	0.8%
11:00	1	0.8%
06:00	1	0.8%
17:00	1	0.8%
18:00	1	0.8%
Other values (4)	4	3.1%

Most occurring characters

Value	Count	Frequency (%)
n	196	42.7%
a	98	21.4%
0	70	15.3%
:	33	7.2%
1	28	6.1%
2	25	5.4%
9	4	0.9%
5	2	0.4%
6	1	0.2%
7	1	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	294	64.1%
Decimal Number	132	28.8%
Other Punctuation	33	7.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	70	53.0%
1	28	21.2%
2	25	18.9%
9	4	3.0%
5	2	1.5%
6	1	0.8%
7	1	0.8%
8	1	0.8%

Lowercase Letter

Value	Count	Frequency (%)
n	196	66.7%
a	98	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	33	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	294	64.1%
Common	165	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	70	42.4%
:	33	20.0%
1	28	17.0%
2	25	15.2%
9	4	2.4%
5	2	1.2%
6	1	0.6%
7	1	0.6%
8	1	0.6%

Latin

Value	Count	Frequency (%)
n	196	66.7%
a	98	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	459	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	196	42.7%
a	98	21.4%
0	70	15.3%
:	33	7.2%
1	28	6.1%
2	25	5.4%
9	4	0.9%
5	2	0.4%
6	1	0.2%
7	1	0.2%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	13.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2020-12-31T12:00:00+00:00	59
2020-12-31T04:00:00+00:00	29
2020-12-31T09:00:00+00:00	9
2021-01-01T02:00:00+00:00	6
2020-12-31T17:00:00+00:00	6
Other values (13)	22

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	3275
Distinct characters	13
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	6.1%

Sample

1st row	2020-12-30T22:00:00+00:00
2nd row	2020-12-31T00:00:00+00:00
3rd row	2020-12-31T00:00:00+00:00
4th row	2020-12-31T00:00:00+00:00
5th row	2020-12-31T00:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-31T12:00:00+00:00	59	45.0%
2020-12-31T04:00:00+00:00	29	22.1%
2020-12-31T09:00:00+00:00	9	6.9%
2021-01-01T02:00:00+00:00	6	4.6%
2020-12-31T17:00:00+00:00	6	4.6%
2020-12-31T00:00:00+00:00	4	3.1%
2020-12-31T03:00:00+00:00	3	2.3%
2020-12-31T10:00:00+00:00	3	2.3%
2020-12-31T14:00:00+00:00	2	1.5%
2020-12-31T11:00:00+00:00	2	1.5%
Other values (8)	8	6.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-31t12:00:00+00:00	59	45.0%
2020-12-31t04:00:00+00:00	29	22.1%
2020-12-31t09:00:00+00:00	9	6.9%
2021-01-01t02:00:00+00:00	6	4.6%
2020-12-31t17:00:00+00:00	6	4.6%
2020-12-31t00:00:00+00:00	4	3.1%
2020-12-31t03:00:00+00:00	3	2.3%
2020-12-31t10:00:00+00:00	3	2.3%
2020-12-31t11:00:00+00:00	2	1.5%
2020-12-31t14:00:00+00:00	2	1.5%
Other values (8)	8	6.1%

Most occurring characters

Value	Count	Frequency (%)
0	1377	42.0%
2	456	13.9%
:	393	12.0%
1	344	10.5%
-	262	8.0%
T	131	4.0%
+	131	4.0%
3	129	3.9%
4	31	0.9%
9	10	0.3%
Other values (3)	11	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2358	72.0%
Other Punctuation	393	12.0%
Dash Punctuation	262	8.0%
Uppercase Letter	131	4.0%
Math Symbol	131	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	1377	58.4%
2	456	19.3%
1	344	14.6%
3	129	5.5%
4	31	1.3%
9	10	0.4%
7	7	0.3%
8	2	0.1%
5	2	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	393	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	262	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	131	100.0%

Math Symbol

Value	Count	Frequency (%)
+	131	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3144	96.0%
Latin	131	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	1377	43.8%
2	456	14.5%
:	393	12.5%
1	344	10.9%
-	262	8.3%
+	131	4.2%
3	129	4.1%
4	31	1.0%
9	10	0.3%
7	7	0.2%
Other values (2)	4	0.1%

Latin

Value	Count	Frequency (%)
T	131	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3275	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	1377	42.0%
2	456	13.9%
:	393	12.0%
1	344	10.5%
-	262	8.0%
T	131	4.0%
+	131	4.0%
3	129	3.9%
4	31	0.9%
9	10	0.3%
Other values (3)	11	0.3%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	38
Distinct (%)	32.5%
Missing	14
Missing (%)	10.7%
Infinite	0
Infinite (%)	0.0%
Mean	41.34188034

Minimum	4
Maximum	213
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	4
5-th percentile	8.6
Q1	30
median	42
Q3	51
95-th percentile	60.6
Maximum	213
Range	209
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	25.98678789
Coefficient of variation (CV)	0.6285826303
Kurtosis	16.90757188
Mean	41.34188034
Median Absolute Deviation (MAD)	12
Skewness	3.026005837
Sum	4837
Variance	675.3131447
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
45	24	18.3%
30	22	16.8%
60	12	9.2%
40	8	6.1%
20	5	3.8%
120	3	2.3%
10	3	2.3%
57	2	1.5%
58	2	1.5%
53	2	1.5%
Other values (28)	34	26.0%
(Missing)	14	10.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	2	1.5%
5	1	0.8%
6	2	1.5%
7	1	0.8%
9	1	0.8%
10	3	2.3%
12	1	0.8%
15	1	0.8%
17	1	0.8%
18	1	0.8%

Value	Count	Frequency (%)
213	1	0.8%
120	3	2.3%
67	1	0.8%
63	1	0.8%
60	12	9.2%
59	1	0.8%
58	2	1.5%
57	2	1.5%
56	1	0.8%
54	1	0.8%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	36
Distinct (%)	27.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	96
<p>Yun Woo recruits Yoo Han's help and together they search for his mother. As they dig deeper into the mystery surrounding her disappearance, an unexpected story begins to unfold. </p>	1
<p>The darkest days of the void arrive as Sabrina struggles with grief and regret. Can she summon the strength to overcome an endless cycle of destruction?</p>	1
<p>Mother Abagail selects a surprising voice to be her conduit to her chosen Committee in Boulder: the young deaf man Nick Andros. The arrival of a disturbing visitor to the Boulder Free Zone, shakes the Committee and Boulder residents to their core. Elsewhere in the Free Zone, Nadine Cross is haunted by a childhood memory.</p>	1
<p>This week, Director Jonathan Frakes joins host Wil Wheaton (Star Trek: The Next Generation) in "The Ready Room" to discuss Star Trek's complex new villain, the state of the distant future in the Star Trek Universe, and more!</p>	1
Other values (31)	31

Length

Max length	329
Median length	3
Mean length	39.58778626
Min length	3

Characters and Unicode

Total characters	5186
Distinct characters	76
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	26.7%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	96	73.3%
<p>Yun Woo recruits Yoo Han's help and together they search for his mother. As they dig deeper into the mystery surrounding her disappearance, an unexpected story begins to unfold. </p>	1	0.8%
<p>The darkest days of the void arrive as Sabrina struggles with grief and regret. Can she summon the strength to overcome an endless cycle of destruction?</p>	1	0.8%
<p>Mother Abagail selects a surprising voice to be her conduit to her chosen Committee in Boulder: the young deaf man Nick Andros. The arrival of a disturbing visitor to the Boulder Free Zone, shakes the Committee and Boulder residents to their core. Elsewhere in the Free Zone, Nadine Cross is haunted by a childhood memory.</p>	1	0.8%
<p>This week, Director Jonathan Frakes joins host Wil Wheaton (Star Trek: The Next Generation) in "The Ready Room" to discuss Star Trek's complex new villain, the state of the distant future in the Star Trek Universe, and more!</p>	1	0.8%
<p>Tai's family finds a way to pay off their family's debt to Ms. Second. Tien is even able to recover Tai's heirloom. </p>	1	0.8%
<p>The five friends take Ellen to the airport and something unexpected happens.</p>	1	0.8%
<p>The Highest suspects that Dikahn is with someone then finds out who it may be. Lilo disrupts the status quo at the compound in several ways. Ruth plans an escape while Brian sneakily tests Lynn for drugs.</p>	1	0.8%
<p>Suppressed emotions unleash and things come to a boil as revelations unravel in the season finale.</p>	1	0.8%
<p>To protect his rich and strategic lands in France, the English king, Richard the Lionheart, decided to build an impregnable castle to bar the route along the Seine, thus asserting his supremacy in Normandy. Four years later, France's King Philip besieged the site at the head of an army of 6,000 men.</p>	1	0.8%
Other values (26)	26	19.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	96	10.8%
the	50	5.6%
and	28	3.2%
a	25	2.8%
to	24	2.7%
of	17	1.9%
in	15	1.7%
an	10	1.1%
as	8	0.9%
is	8	0.9%
Other values (464)	605	68.3%

Most occurring characters

Value	Count	Frequency (%)
	750	14.5%
n	477	9.2%
e	446	8.6%
a	405	7.8%
t	287	5.5%
s	265	5.1%
i	264	5.1%
r	252	4.9%
o	247	4.8%
h	175	3.4%
Other values (66)	1618	31.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3900	75.2%
Space Separator	757	14.6%
Uppercase Letter	195	3.8%
Math Symbol	160	3.1%
Other Punctuation	149	2.9%
Decimal Number	16	0.3%
Dash Punctuation	7	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	477	12.2%
e	446	11.4%
a	405	10.4%
t	287	7.4%
s	265	6.8%
i	264	6.8%
r	252	6.5%
o	247	6.3%
h	175	4.5%
p	143	3.7%
Other values (16)	939	24.1%

Uppercase Letter

Value	Count	Frequency (%)
T	21	10.8%
S	20	10.3%
B	15	7.7%
C	15	7.7%
A	14	7.2%
L	13	6.7%
R	12	6.2%
H	11	5.6%
F	9	4.6%
E	9	4.6%
Other values (15)	56	28.7%

Other Punctuation

Value	Count	Frequency (%)
.	62	41.6%
/	41	27.5%
,	26	17.4%
'	11	7.4%
?	3	2.0%
"	2	1.3%
:	2	1.3%
!	1	0.7%
…	1	0.7%

Decimal Number

Value	Count	Frequency (%)
0	5	31.2%
4	3	18.8%
2	2	12.5%
1	2	12.5%
7	1	6.2%
9	1	6.2%
8	1	6.2%
6	1	6.2%

Space Separator

Value	Count	Frequency (%)
	750	99.1%
	7	0.9%

Math Symbol

Value	Count	Frequency (%)
<	80	50.0%
>	80	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	4	57.1%
—	3	42.9%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4095	79.0%
Common	1091	21.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	477	11.6%
e	446	10.9%
a	405	9.9%
t	287	7.0%
s	265	6.5%
i	264	6.4%
r	252	6.2%
o	247	6.0%
h	175	4.3%
p	143	3.5%
Other values (41)	1134	27.7%

Common

Value	Count	Frequency (%)
	750	68.7%
<	80	7.3%
>	80	7.3%
.	62	5.7%
/	41	3.8%
,	26	2.4%
'	11	1.0%
	7	0.6%
0	5	0.5%
-	4	0.4%
Other values (15)	25	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5175	99.8%
None	7	0.1%
Punctuation	4	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	750	14.5%
n	477	9.2%
e	446	8.6%
a	405	7.8%
t	287	5.5%
s	265	5.1%
i	264	5.1%
r	252	4.9%
o	247	4.8%
h	175	3.4%
Other values (63)	1607	31.1%

None

Value	Count	Frequency (%)
	7	100.0%

Punctuation

Value	Count	Frequency (%)
—	3	75.0%
…	1	25.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	71
Distinct (%)	54.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43881.45038

Minimum	2504
Maximum	61556
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2504
5-th percentile	16001.5
Q1	38318
median	51316
Q3	52847
95-th percentile	60114
Maximum	61556
Range	59052
Interquartile range (IQR)	14529

Descriptive statistics

Standard deviation	14232.3068
Coefficient of variation (CV)	0.324335378
Kurtosis	0.3964382598
Mean	43881.45038
Median Absolute Deviation (MAD)	4628
Skewness	-1.147194318
Sum	5748470
Variance	202558556.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19355	10	7.6%
52847	10	7.6%
32649	8	6.1%
41490	6	4.6%
61556	6	4.6%
52784	6	4.6%
39441	6	4.6%
59380	3	2.3%
53830	2	1.5%
52936	2	1.5%
Other values (61)	72	55.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2504	1	0.8%
6544	1	0.8%
7480	1	0.8%
7564	1	0.8%
7847	1	0.8%
15250	2	1.5%
16753	1	0.8%
17046	1	0.8%
19355	10	7.6%
28381	1	0.8%

Value	Count	Frequency (%)
61556	6	4.6%
60848	1	0.8%
59380	3	2.3%
57556	1	0.8%
56253	1	0.8%
55403	1	0.8%
55288	2	1.5%
55199	1	0.8%
54658	1	0.8%
54610	1	0.8%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	71
Distinct (%)	54.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

https://www.tvmaze.com/shows/19355/loudermilk	10
https://www.tvmaze.com/shows/52847/three-men-four-wheels	10
https://www.tvmaze.com/shows/32649/chilling-adventures-of-sabrina	8
https://www.tvmaze.com/shows/41490/unique-lady	6
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty	6
Other values (66)	91

Length

Max length	83
Median length	61
Mean length	53.16793893
Min length	39

Characters and Unicode

Total characters	6965
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	38.2%

Sample

1st row	https://www.tvmaze.com/shows/39115/obycnaa-zensina
2nd row	https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar
3rd row	https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit
4th row	https://www.tvmaze.com/shows/46688/proekt-anna-nikolaevna
5th row	https://www.tvmaze.com/shows/51065/stand-up-autsajd

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/19355/loudermilk	10	7.6%
https://www.tvmaze.com/shows/52847/three-men-four-wheels	10	7.6%
https://www.tvmaze.com/shows/32649/chilling-adventures-of-sabrina	8	6.1%
https://www.tvmaze.com/shows/41490/unique-lady	6	4.6%
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty	6	4.6%
https://www.tvmaze.com/shows/52784/unique-lady-2	6	4.6%
https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	6	4.6%
https://www.tvmaze.com/shows/59380/forteresses-assiegees-batailles-de-legende	3	2.3%
https://www.tvmaze.com/shows/53830/witches	2	1.5%
https://www.tvmaze.com/shows/52936/my-best-friends-story	2	1.5%
Other values (61)	72	55.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/19355/loudermilk	10	7.6%
https://www.tvmaze.com/shows/52847/three-men-four-wheels	10	7.6%
https://www.tvmaze.com/shows/32649/chilling-adventures-of-sabrina	8	6.1%
https://www.tvmaze.com/shows/41490/unique-lady	6	4.6%
https://www.tvmaze.com/shows/61556/unsolved-cases-of-kung-fu-portrait-of-beauty	6	4.6%
https://www.tvmaze.com/shows/52784/unique-lady-2	6	4.6%
https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	6	4.6%
https://www.tvmaze.com/shows/59380/forteresses-assiegees-batailles-de-legende	3	2.3%
https://www.tvmaze.com/shows/15250/the-young-turks	2	1.5%
https://www.tvmaze.com/shows/53698/the-shore	2	1.5%
Other values (61)	72	55.0%

Most occurring characters

Value	Count	Frequency (%)
/	655	9.4%
w	558	8.0%
s	555	8.0%
t	522	7.5%
e	422	6.1%
o	391	5.6%
h	331	4.8%
m	315	4.5%
a	289	4.1%
-	275	3.9%
Other values (30)	2652	38.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4982	71.5%
Other Punctuation	1048	15.0%
Decimal Number	660	9.5%
Dash Punctuation	275	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	558	11.2%
s	555	11.1%
t	522	10.5%
e	422	8.5%
o	391	7.8%
h	331	6.6%
m	315	6.3%
a	289	5.8%
c	173	3.5%
v	159	3.2%
Other values (16)	1267	25.4%

Decimal Number

Value	Count	Frequency (%)
5	122	18.5%
4	92	13.9%
2	74	11.2%
3	67	10.2%
8	60	9.1%
1	56	8.5%
6	56	8.5%
9	54	8.2%
7	40	6.1%
0	39	5.9%

Other Punctuation

Value	Count	Frequency (%)
/	655	62.5%
.	262	25.0%
:	131	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	275	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4982	71.5%
Common	1983	28.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	558	11.2%
s	555	11.1%
t	522	10.5%
e	422	8.5%
o	391	7.8%
h	331	6.6%
m	315	6.3%
a	289	5.8%
c	173	3.5%
v	159	3.2%
Other values (16)	1267	25.4%

Common

Value	Count	Frequency (%)
/	655	33.0%
-	275	13.9%
.	262	13.2%
:	131	6.6%
5	122	6.2%
4	92	4.6%
2	74	3.7%
3	67	3.4%
8	60	3.0%
1	56	2.8%
Other values (4)	189	9.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6965	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	655	9.4%
w	558	8.0%
s	555	8.0%
t	522	7.5%
e	422	6.1%
o	391	5.6%
h	331	4.8%
m	315	4.5%
a	289	4.1%
-	275	3.9%
Other values (30)	2652	38.1%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	71
Distinct (%)	54.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Loudermilk	10
Three Men Four Wheels	10
Chilling Adventures of Sabrina	8
Unique Lady	6
Unsolved Cases of Kung Fu: Portrait of Beauty	6
Other values (66)	91

Length

Max length	50
Median length	30
Mean length	18.49618321
Min length	4

Characters and Unicode

Total characters	2423
Distinct characters	102
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	50 ?
Unique (%)	38.2%

Sample

1st row	Обычная женщина
2nd row	По сезону. Видеодайджест Seasonvar
3rd row	257 причин, чтобы жить
4th row	Проект "Анна Николаевна"
5th row	Stand Up Аутсайд

Common Values

Value	Count	Frequency (%)
Loudermilk	10	7.6%
Three Men Four Wheels	10	7.6%
Chilling Adventures of Sabrina	8	6.1%
Unique Lady	6	4.6%
Unsolved Cases of Kung Fu: Portrait of Beauty	6	4.6%
Unique Lady 2	6	4.6%
Carl Weber's The Family Business	6	4.6%
Forteresses assiégées, batailles de légende	3	2.3%
Witches	2	1.5%
My Best Friend's Story	2	1.5%
Other values (61)	72	55.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
of	23	5.7%
the	18	4.4%
lady	12	2.9%
unique	12	2.9%
loudermilk	10	2.5%
three	10	2.5%
four	10	2.5%
men	10	2.5%
wheels	10	2.5%
adventures	8	2.0%
Other values (164)	284	69.8%

Most occurring characters

Value	Count	Frequency (%)
	276	11.4%
e	271	11.2%
r	131	5.4%
n	122	5.0%
s	119	4.9%
a	118	4.9%
i	115	4.7%
o	115	4.7%
l	88	3.6%
u	86	3.5%
Other values (92)	982	40.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1733	71.5%
Uppercase Letter	368	15.2%
Space Separator	276	11.4%
Other Punctuation	36	1.5%
Decimal Number	10	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	271	15.6%
r	131	7.6%
n	122	7.0%
s	119	6.9%
a	118	6.8%
i	115	6.6%
o	115	6.6%
l	88	5.1%
u	86	5.0%
t	76	4.4%
Other values (42)	492	28.4%

Uppercase Letter

Value	Count	Frequency (%)
T	44	12.0%
L	35	9.5%
S	34	9.2%
F	28	7.6%
C	26	7.1%
W	26	7.1%
U	23	6.2%
M	21	5.7%
B	20	5.4%
A	19	5.2%
Other values (28)	92	25.0%

Other Punctuation

Value	Count	Frequency (%)
'	14	38.9%
:	9	25.0%
,	5	13.9%
!	4	11.1%
"	2	5.6%
&	1	2.8%
.	1	2.8%

Decimal Number

Value	Count	Frequency (%)
2	7	70.0%
6	1	10.0%
7	1	10.0%
5	1	10.0%

Space Separator

Value	Count	Frequency (%)
	276	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1966	81.1%
Common	322	13.3%
Cyrillic	135	5.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	271	13.8%
r	131	6.7%
n	122	6.2%
s	119	6.1%
a	118	6.0%
i	115	5.8%
o	115	5.8%
l	88	4.5%
u	86	4.4%
t	76	3.9%
Other values (45)	725	36.9%

Cyrillic

Value	Count	Frequency (%)
а	15	11.1%
н	12	8.9%
о	10	7.4%
т	9	6.7%
е	8	5.9%
д	7	5.2%
и	7	5.2%
р	5	3.7%
к	5	3.7%
у	5	3.7%
Other values (25)	52	38.5%

Common

Value	Count	Frequency (%)
	276	85.7%
'	14	4.3%
:	9	2.8%
2	7	2.2%
,	5	1.6%
!	4	1.2%
"	2	0.6%
&	1	0.3%
.	1	0.3%
6	1	0.3%
Other values (2)	2	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2273	93.8%
Cyrillic	135	5.6%
None	15	0.6%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	276	12.1%
e	271	11.9%
r	131	5.8%
n	122	5.4%
s	119	5.2%
a	118	5.2%
i	115	5.1%
o	115	5.1%
l	88	3.9%
u	86	3.8%
Other values (52)	832	36.6%

Cyrillic

Value	Count	Frequency (%)
а	15	11.1%
н	12	8.9%
о	10	7.4%
т	9	6.7%
е	8	5.9%
д	7	5.2%
и	7	5.2%
р	5	3.7%
к	5	3.7%
у	5	3.7%
Other values (25)	52	38.5%

None

Value	Count	Frequency (%)
é	9	60.0%
Ş	2	13.3%
ı	2	13.3%
Ç	1	6.7%
ğ	1	6.7%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	6.9%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Scripted	89
Reality	15
Talk Show	7
Animation	7
Documentary	5
Other values (4)	8

Length

Max length	11
Median length	8
Mean length	8.007633588
Min length	4

Characters and Unicode

Total characters	1049
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.8%

Sample

1st row	Scripted
2nd row	Talk Show
3rd row	Scripted
4th row	Scripted
5th row	Variety

Common Values

Value	Count	Frequency (%)
Scripted	89	67.9%
Reality	15	11.5%
Talk Show	7	5.3%
Animation	7	5.3%
Documentary	5	3.8%
Variety	3	2.3%
News	2	1.5%
Sports	2	1.5%
Panel Show	1	0.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	89	64.0%
reality	15	10.8%
show	8	5.8%
talk	7	5.0%
animation	7	5.0%
documentary	5	3.6%
variety	3	2.2%
news	2	1.4%
sports	2	1.4%
panel	1	0.7%

Most occurring characters

Value	Count	Frequency (%)
i	121	11.5%
t	121	11.5%
e	115	11.0%
S	99	9.4%
r	99	9.4%
c	94	9.0%
p	91	8.7%
d	89	8.5%
a	38	3.6%
l	23	2.2%
Other values (17)	159	15.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	902	86.0%
Uppercase Letter	139	13.3%
Space Separator	8	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	121	13.4%
t	121	13.4%
e	115	12.7%
r	99	11.0%
c	94	10.4%
p	91	10.1%
d	89	9.9%
a	38	4.2%
l	23	2.5%
y	23	2.5%
Other values (8)	88	9.8%

Uppercase Letter

Value	Count	Frequency (%)
S	99	71.2%
R	15	10.8%
A	7	5.0%
T	7	5.0%
D	5	3.6%
V	3	2.2%
N	2	1.4%
P	1	0.7%

Space Separator

Value	Count	Frequency (%)
	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1041	99.2%
Common	8	0.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	121	11.6%
t	121	11.6%
e	115	11.0%
S	99	9.5%
r	99	9.5%
c	94	9.0%
p	91	8.7%
d	89	8.5%
a	38	3.7%
l	23	2.2%
Other values (16)	151	14.5%

Common

Value	Count	Frequency (%)
	8	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1049	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	121	11.5%
t	121	11.5%
e	115	11.0%
S	99	9.4%
r	99	9.4%
c	94	9.0%
p	91	8.7%
d	89	8.5%
a	38	3.6%
l	23	2.2%
Other values (17)	159	15.2%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	16
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

English	49
Chinese	38
Russian	12
Korean	7
Turkish	5
Other values (11)	20

Length

Max length	10
Median length	7
Mean length	6.870229008
Min length	3

Characters and Unicode

Total characters	900
Distinct characters	33
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	4.6%

Sample

1st row	Russian
2nd row	Russian
3rd row	Russian
4th row	Russian
5th row	Russian

Common Values

Value	Count	Frequency (%)
English	49	37.4%
Chinese	38	29.0%
Russian	12	9.2%
Korean	7	5.3%
Turkish	5	3.8%
Arabic	4	3.1%
Tagalog	3	2.3%
French	3	2.3%
Swedish	2	1.5%
Dutch	2	1.5%
Other values (6)	6	4.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	49	37.4%
chinese	38	29.0%
russian	12	9.2%
korean	7	5.3%
turkish	5	3.8%
arabic	4	3.1%
tagalog	3	2.3%
french	3	2.3%
swedish	2	1.5%
dutch	2	1.5%
Other values (6)	6	4.6%

Most occurring characters

Value	Count	Frequency (%)
s	120	13.3%
n	114	12.7%
i	112	12.4%
h	99	11.0%
e	95	10.6%
g	57	6.3%
l	53	5.9%
E	49	5.4%
C	38	4.2%
a	35	3.9%
Other values (23)	128	14.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	770	85.6%
Uppercase Letter	130	14.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	120	15.6%
n	114	14.8%
i	112	14.5%
h	99	12.9%
e	95	12.3%
g	57	7.4%
l	53	6.9%
a	35	4.5%
r	22	2.9%
u	21	2.7%
Other values (9)	42	5.5%

Uppercase Letter

Value	Count	Frequency (%)
E	49	37.7%
C	38	29.2%
R	12	9.2%
T	8	6.2%
K	7	5.4%
A	4	3.1%
F	3	2.3%
S	2	1.5%
D	2	1.5%
M	1	0.8%
Other values (4)	4	3.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	900	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	120	13.3%
n	114	12.7%
i	112	12.4%
h	99	11.0%
e	95	10.6%
g	57	6.3%
l	53	5.9%
E	49	5.4%
C	38	4.2%
a	35	3.9%
Other values (23)	128	14.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	900	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	120	13.3%
n	114	12.7%
i	112	12.4%
h	99	11.0%
e	95	10.6%
g	57	6.3%
l	53	5.9%
E	49	5.4%
C	38	4.2%
a	35	3.9%
Other values (23)	128	14.2%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	29
Distinct (%)	22.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

[]	29
['Comedy']	20
['Drama', 'Romance']	12
['Horror', 'Romance', 'Supernatural']	8
['Drama', 'Comedy', 'Romance']	7
Other values (24)	55

Length

Max length	42
Median length	38
Mean length	17.74045802
Min length	2

Characters and Unicode

Total characters	2324
Distinct characters	32
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	9.9%

Sample

1st row	['Drama', 'Crime', 'Mystery']
2nd row	[]
3rd row	['Drama', 'Comedy']
4th row	['Drama', 'Comedy', 'Science-Fiction']
5th row	[]

Common Values

Value	Count	Frequency (%)
[]	29	22.1%
['Comedy']	20	15.3%
['Drama', 'Romance']	12	9.2%
['Horror', 'Romance', 'Supernatural']	8	6.1%
['Drama', 'Comedy', 'Romance']	7	5.3%
['Comedy', 'Fantasy', 'Romance']	7	5.3%
['Drama', 'Crime', 'Thriller']	6	4.6%
['Mystery']	6	4.6%
['Sports']	4	3.1%
['Drama', 'Romance', 'History']	4	3.1%
Other values (19)	28	21.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	47	19.1%
comedy	44	17.9%
romance	42	17.1%
	29	11.8%
crime	12	4.9%
horror	9	3.7%
supernatural	9	3.7%
fantasy	9	3.7%
mystery	8	3.3%
action	7	2.8%
Other values (10)	30	12.2%

Most occurring characters

Value	Count	Frequency (%)
'	434	18.7%
a	173	7.4%
m	149	6.4%
e	138	5.9%
r	138	5.9%
[	131	5.6%
]	131	5.6%
o	123	5.3%
,	115	4.9%
	115	4.9%
Other values (22)	677	29.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1177	50.6%
Other Punctuation	549	23.6%
Uppercase Letter	219	9.4%
Open Punctuation	131	5.6%
Close Punctuation	131	5.6%
Space Separator	115	4.9%
Dash Punctuation	2	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	173	14.7%
m	149	12.7%
e	138	11.7%
r	138	11.7%
o	123	10.5%
n	80	6.8%
y	74	6.3%
c	58	4.9%
d	51	4.3%
t	47	4.0%
Other values (7)	146	12.4%

Uppercase Letter

Value	Count	Frequency (%)
C	58	26.5%
D	47	21.5%
R	42	19.2%
S	15	6.8%
A	14	6.4%
F	13	5.9%
H	13	5.9%
M	11	5.0%
T	6	2.7%

Other Punctuation

Value	Count	Frequency (%)
'	434	79.1%
,	115	20.9%

Open Punctuation

Value	Count	Frequency (%)
[	131	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	131	100.0%

Space Separator

Value	Count	Frequency (%)
	115	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1396	60.1%
Common	928	39.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	173	12.4%
m	149	10.7%
e	138	9.9%
r	138	9.9%
o	123	8.8%
n	80	5.7%
y	74	5.3%
c	58	4.2%
C	58	4.2%
d	51	3.7%
Other values (16)	354	25.4%

Common

Value	Count	Frequency (%)
'	434	46.8%
[	131	14.1%
]	131	14.1%
,	115	12.4%
	115	12.4%
-	2	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2324	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	434	18.7%
a	173	7.4%
m	149	6.4%
e	138	5.9%
r	138	5.9%
[	131	5.6%
]	131	5.6%
o	123	5.3%
,	115	4.9%
	115	4.9%
Other values (22)	677	29.1%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

Running	69
Ended	49
To Be Determined	13

Length

Max length	16
Median length	7
Mean length	7.145038168
Min length	5

Characters and Unicode

Total characters	936
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ended
2nd row	Running
3rd row	Ended
4th row	To Be Determined
5th row	Ended

Common Values

Value	Count	Frequency (%)
Running	69	52.7%
Ended	49	37.4%
To Be Determined	13	9.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	69	43.9%
ended	49	31.2%
to	13	8.3%
be	13	8.3%
determined	13	8.3%

Most occurring characters

Value	Count	Frequency (%)
n	269	28.7%
d	111	11.9%
e	101	10.8%
i	82	8.8%
R	69	7.4%
u	69	7.4%
g	69	7.4%
E	49	5.2%
	26	2.8%
T	13	1.4%
Other values (6)	78	8.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	753	80.4%
Uppercase Letter	157	16.8%
Space Separator	26	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	269	35.7%
d	111	14.7%
e	101	13.4%
i	82	10.9%
u	69	9.2%
g	69	9.2%
o	13	1.7%
t	13	1.7%
r	13	1.7%
m	13	1.7%

Uppercase Letter

Value	Count	Frequency (%)
R	69	43.9%
E	49	31.2%
T	13	8.3%
B	13	8.3%
D	13	8.3%

Space Separator

Value	Count	Frequency (%)
	26	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	910	97.2%
Common	26	2.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	269	29.6%
d	111	12.2%
e	101	11.1%
i	82	9.0%
R	69	7.6%
u	69	7.6%
g	69	7.6%
E	49	5.4%
T	13	1.4%
o	13	1.4%
Other values (5)	65	7.1%

Common

Value	Count	Frequency (%)
	26	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	936	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	269	28.7%
d	111	11.9%
e	101	10.8%
i	82	8.8%
R	69	7.4%
u	69	7.4%
g	69	7.4%
E	49	5.2%
	26	2.8%
T	13	1.4%
Other values (6)	78	8.3%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	19
Distinct (%)	21.3%
Missing	42
Missing (%)	32.1%
Infinite	0
Infinite (%)	0.0%
Mean	40.30337079

Minimum	4
Maximum	120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	4
5-th percentile	9.4
Q1	30
median	45
Q3	45
95-th percentile	60
Maximum	120
Range	116
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	21.29468804
Coefficient of variation (CV)	0.5283599763
Kurtosis	4.854048443
Mean	40.30337079
Median Absolute Deviation (MAD)	15
Skewness	1.473779527
Sum	3587
Variance	453.4637385
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
45	26	19.8%
60	12	9.2%
30	12	9.2%
20	8	6.1%
38	6	4.6%
10	3	2.3%
51	3	2.3%
120	3	2.3%
50	2	1.5%
25	2	1.5%
Other values (9)	12	9.2%
(Missing)	42	32.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	2	1.5%
5	1	0.8%
8	1	0.8%
9	1	0.8%
10	3	2.3%
20	8	6.1%
21	2	1.5%
23	1	0.8%
25	2	1.5%
28	1	0.8%

Value	Count	Frequency (%)
120	3	2.3%
60	12	9.2%
53	1	0.8%
51	3	2.3%
50	2	1.5%
45	26	19.8%
40	2	1.5%
38	6	4.6%
30	12	9.2%
28	1	0.8%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	33
Distinct (%)	27.7%
Missing	12
Missing (%)	9.2%
Infinite	0
Infinite (%)	0.0%
Mean	39.2605042

Minimum	2
Maximum	129
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	2
5-th percentile	7.9
Q1	28
median	42
Q3	51
95-th percentile	60
Maximum	129
Range	127
Interquartile range (IQR)	23

Descriptive statistics

Standard deviation	21.02438543
Coefficient of variation (CV)	0.5355098173
Kurtosis	4.662717442
Mean	39.2605042
Median Absolute Deviation (MAD)	12
Skewness	1.300643161
Sum	4672
Variance	442.0247828
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
45	23	17.6%
30	21	16.0%
60	11	8.4%
57	10	7.6%
42	6	4.6%
21	5	3.8%
10	4	3.1%
28	3	2.3%
52	3	2.3%
7	2	1.5%
Other values (23)	31	23.7%
(Missing)	12	9.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	0.8%
4	2	1.5%
5	1	0.8%
7	2	1.5%
8	1	0.8%
9	2	1.5%
10	4	3.1%
12	1	0.8%
16	1	0.8%
20	2	1.5%

Value	Count	Frequency (%)
129	1	0.8%
120	2	1.5%
60	11	8.4%
58	1	0.8%
57	10	7.6%
56	1	0.8%
53	1	0.8%
52	3	2.3%
50	2	1.5%
48	1	0.8%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	56
Distinct (%)	42.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

2020-12-31	14
2017-10-17	11
2018-10-26	8
2020-12-24	8
2020-12-30	7
Other values (51)	83

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	1310
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	35 ?
Unique (%)	26.7%

Sample

1st row	2018-10-29
2nd row	2015-02-13
3rd row	2020-03-26
4th row	2020-03-26
5th row	2020-10-13

Common Values

Value	Count	Frequency (%)
2020-12-31	14	10.7%
2017-10-17	11	8.4%
2018-10-26	8	6.1%
2020-12-24	8	6.1%
2020-12-30	7	5.3%
2018-11-13	6	4.6%
2019-01-17	6	4.6%
2020-12-17	5	3.8%
2020-12-10	5	3.8%
2020-12-28	3	2.3%
Other values (46)	58	44.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-31	14	10.7%
2017-10-17	11	8.4%
2018-10-26	8	6.1%
2020-12-24	8	6.1%
2020-12-30	7	5.3%
2018-11-13	6	4.6%
2019-01-17	6	4.6%
2020-12-17	5	3.8%
2020-12-10	5	3.8%
2020-12-28	3	2.3%
Other values (46)	58	44.3%

Most occurring characters

Value	Count	Frequency (%)
2	311	23.7%
0	301	23.0%
-	262	20.0%
1	254	19.4%
3	43	3.3%
7	39	3.0%
8	30	2.3%
6	23	1.8%
9	21	1.6%
4	16	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1048	80.0%
Dash Punctuation	262	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	311	29.7%
0	301	28.7%
1	254	24.2%
3	43	4.1%
7	39	3.7%
8	30	2.9%
6	23	2.2%
9	21	2.0%
4	16	1.5%
5	10	1.0%

Dash Punctuation

Value	Count	Frequency (%)
-	262	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1310	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	311	23.7%
0	301	23.0%
-	262	20.0%
1	254	19.4%
3	43	3.3%
7	39	3.0%
8	30	2.3%
6	23	1.8%
9	21	1.6%
4	16	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1310	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	311	23.7%
0	301	23.0%
-	262	20.0%
1	254	19.4%
3	43	3.3%
7	39	3.0%
8	30	2.3%
6	23	1.8%
9	21	1.6%
4	16	1.2%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	18
Distinct (%)	13.7%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	82
2021-01-07	13
2020-12-31	12
2021-01-14	4
2021-01-02	2
Other values (13)	18

Length

Max length	10
Median length	3
Mean length	5.618320611
Min length	3

Characters and Unicode

Total characters	736
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	6.1%

Sample

1st row	2021-01-07
2nd row	nan
3rd row	2021-01-21
4th row	nan
5th row	2020-12-31

Common Values

Value	Count	Frequency (%)
nan	82	62.6%
2021-01-07	13	9.9%
2020-12-31	12	9.2%
2021-01-14	4	3.1%
2021-01-02	2	1.5%
2021-10-07	2	1.5%
2020-12-18	2	1.5%
2021-01-28	2	1.5%
2021-01-04	2	1.5%
2021-01-11	2	1.5%
Other values (8)	8	6.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	82	62.6%
2021-01-07	13	9.9%
2020-12-31	12	9.2%
2021-01-14	4	3.1%
2021-01-28	2	1.5%
2021-01-04	2	1.5%
2021-01-11	2	1.5%
2020-12-18	2	1.5%
2021-10-07	2	1.5%
2021-01-02	2	1.5%
Other values (8)	8	6.1%

Most occurring characters

Value	Count	Frequency (%)
n	164	22.3%
2	124	16.8%
0	120	16.3%
1	107	14.5%
-	98	13.3%
a	82	11.1%
7	16	2.2%
3	12	1.6%
4	7	1.0%
8	4	0.5%
Other values (2)	2	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	392	53.3%
Lowercase Letter	246	33.4%
Dash Punctuation	98	13.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	124	31.6%
0	120	30.6%
1	107	27.3%
7	16	4.1%
3	12	3.1%
4	7	1.8%
8	4	1.0%
6	1	0.3%
5	1	0.3%

Lowercase Letter

Value	Count	Frequency (%)
n	164	66.7%
a	82	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	98	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	490	66.6%
Latin	246	33.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	124	25.3%
0	120	24.5%
1	107	21.8%
-	98	20.0%
7	16	3.3%
3	12	2.4%
4	7	1.4%
8	4	0.8%
6	1	0.2%
5	1	0.2%

Latin

Value	Count	Frequency (%)
n	164	66.7%
a	82	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	736	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	164	22.3%
2	124	16.8%
0	120	16.3%
1	107	14.5%
-	98	13.3%
a	82	11.1%
7	16	2.2%
3	12	1.6%
4	7	1.0%
8	4	0.5%
Other values (2)	2	0.3%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	62
Distinct (%)	47.3%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	28
https://www.discoveryplus.co.uk/show/three-men-four-wheels	10
https://www.netflix.com/title/80223989	8
http://www.iqiyi.com/a_19rrhvpyyp.html	6
https://v.qq.com/x/cover/mzc00200tyfmlws.html	6
Other values (57)	73

Length

Max length	250
Median length	72
Mean length	40.80152672
Min length	3

Characters and Unicode

Total characters	5345
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	46 ?
Unique (%)	35.1%

Sample

1st row	https://premier.one/show/8405
2nd row	http://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html
3rd row	https://start.ru/watch/257-prichin-chtoby-zhit
4th row	https://hd.kinopoisk.ru/film/48ec62883cb1bfc8a65154fcd3749b72
5th row	https://premier.one/show/13734

Common Values

Value	Count	Frequency (%)
nan	28	21.4%
https://www.discoveryplus.co.uk/show/three-men-four-wheels	10	7.6%
https://www.netflix.com/title/80223989	8	6.1%
http://www.iqiyi.com/a_19rrhvpyyp.html	6	4.6%
https://v.qq.com/x/cover/mzc00200tyfmlws.html	6	4.6%
https://www.bet.plus/shows/the-family-business	6	4.6%
https://www.zed.fr/fr/tv/distribution/catalogue/programme/forteresses-assiegees-batailles-de-legende	3	2.3%
https://www.wavve.com/player/vod?programid=C9901_C99000000047&page=1	2	1.5%
https://www.ivi.ru/watch/chuma-2020	2	1.5%
https://www.tytnetwork.com	2	1.5%
Other values (52)	58	44.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	28	21.4%
https://www.discoveryplus.co.uk/show/three-men-four-wheels	10	7.6%
https://www.netflix.com/title/80223989	8	6.1%
http://www.iqiyi.com/a_19rrhvpyyp.html	6	4.6%
https://v.qq.com/x/cover/mzc00200tyfmlws.html	6	4.6%
https://www.bet.plus/shows/the-family-business	6	4.6%
https://www.zed.fr/fr/tv/distribution/catalogue/programme/forteresses-assiegees-batailles-de-legende	3	2.3%
https://www.iqiyi.com/a_nvzsmw0tgx.html	2	1.5%
https://v.qq.com/detail/s/sifd2an7kx2h9h8.html	2	1.5%
https://www.iqiyi.com/lib/m_213579814.html	2	1.5%
Other values (52)	58	44.3%

Most occurring characters

Value	Count	Frequency (%)
/	428	8.0%
t	403	7.5%
s	311	5.8%
w	289	5.4%
e	276	5.2%
.	233	4.4%
h	223	4.2%
o	213	4.0%
i	205	3.8%
l	189	3.5%
Other values (64)	2575	48.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3703	69.3%
Other Punctuation	822	15.4%
Decimal Number	489	9.1%
Uppercase Letter	188	3.5%
Dash Punctuation	97	1.8%
Connector Punctuation	26	0.5%
Math Symbol	20	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	403	10.9%
s	311	8.4%
w	289	7.8%
e	276	7.5%
h	223	6.0%
o	213	5.8%
i	205	5.5%
l	189	5.1%
p	179	4.8%
a	161	4.3%
Other values (16)	1254	33.9%

Uppercase Letter

Value	Count	Frequency (%)
P	23	12.2%
L	16	8.5%
C	14	7.4%
B	14	7.4%
D	10	5.3%
E	10	5.3%
A	10	5.3%
M	9	4.8%
Z	9	4.8%
F	8	4.3%
Other values (15)	65	34.6%

Decimal Number

Value	Count	Frequency (%)
0	75	15.3%
1	63	12.9%
2	59	12.1%
9	57	11.7%
8	53	10.8%
3	43	8.8%
4	37	7.6%
5	37	7.6%
7	35	7.2%
6	30	6.1%

Other Punctuation

Value	Count	Frequency (%)
/	428	52.1%
.	233	28.3%
:	124	15.1%
%	15	1.8%
?	13	1.6%
&	5	0.6%
'	2	0.2%
#	1	0.1%
!	1	0.1%

Math Symbol

Value	Count	Frequency (%)
=	18	90.0%
+	2	10.0%

Dash Punctuation

Value	Count	Frequency (%)
-	97	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	26	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3891	72.8%
Common	1454	27.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	403	10.4%
s	311	8.0%
w	289	7.4%
e	276	7.1%
h	223	5.7%
o	213	5.5%
i	205	5.3%
l	189	4.9%
p	179	4.6%
a	161	4.1%
Other values (41)	1442	37.1%

Common

Value	Count	Frequency (%)
/	428	29.4%
.	233	16.0%
:	124	8.5%
-	97	6.7%
0	75	5.2%
1	63	4.3%
2	59	4.1%
9	57	3.9%
8	53	3.6%
3	43	3.0%
Other values (13)	222	15.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5345	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	428	8.0%
t	403	7.5%
s	311	5.8%
w	289	5.4%
e	276	5.2%
.	233	4.4%
h	223	4.2%
o	213	4.0%
i	205	3.8%
l	189	3.5%
Other values (64)	2575	48.2%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	49
Distinct (%)	37.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	45.19083969

Minimum	0
Maximum	100
Zeros	6
Zeros (%)	4.6%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	17
median	35
Q3	76
95-th percentile	95
Maximum	100
Range	100
Interquartile range (IQR)	59

Descriptive statistics

Standard deviation	33.07686026
Coefficient of variation (CV)	0.7319372794
Kurtosis	-1.363699923
Mean	45.19083969
Median Absolute Deviation (MAD)	25
Skewness	0.3194428996
Sum	5920
Variance	1094.078685
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
93	17	13.0%
35	11	8.4%
95	8	6.1%
17	7	5.3%
68	6	4.6%
14	6	4.6%
0	6	4.6%
8	4	3.1%
18	4	3.1%
1	4	3.1%
Other values (39)	58	44.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6	4.6%
1	4	3.1%
2	1	0.8%
3	1	0.8%
4	1	0.8%
6	1	0.8%
7	1	0.8%
8	4	3.1%
10	1	0.8%
11	1	0.8%

Value	Count	Frequency (%)
100	1	0.8%
95	8	6.1%
94	1	0.8%
93	17	13.0%
90	1	0.8%
87	1	0.8%
84	2	1.5%
78	1	0.8%
77	1	0.8%
75	1	0.8%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	129
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	2

Length

Max length	70
Median length	3
Mean length	4.022900763
Min length	3

Characters and Unicode

Total characters	527
Distinct characters	28
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	129	98.5%
{'name': 'Korea, Republic of', 'code': 'KR', 'timezone': 'Asia/Seoul'}	2	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	129	89.0%
name	2	1.4%
korea	2	1.4%
republic	2	1.4%
of	2	1.4%
code	2	1.4%
kr	2	1.4%
timezone	2	1.4%
asia/seoul	2	1.4%

Most occurring characters

Value	Count	Frequency (%)
n	262	49.7%
a	135	25.6%
'	24	4.6%
e	14	2.7%
	14	2.7%
o	10	1.9%
i	6	1.1%
:	6	1.1%
,	6	1.1%
R	4	0.8%
Other values (18)	46	8.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	459	87.1%
Other Punctuation	38	7.2%
Space Separator	14	2.7%
Uppercase Letter	12	2.3%
Open Punctuation	2	0.4%
Close Punctuation	2	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	262	57.1%
a	135	29.4%
e	14	3.1%
o	10	2.2%
i	6	1.3%
c	4	0.9%
l	4	0.9%
u	4	0.9%
m	4	0.9%
p	2	0.4%
Other values (7)	14	3.1%

Other Punctuation

Value	Count	Frequency (%)
'	24	63.2%
:	6	15.8%
,	6	15.8%
/	2	5.3%

Uppercase Letter

Value	Count	Frequency (%)
R	4	33.3%
K	4	33.3%
A	2	16.7%
S	2	16.7%

Space Separator

Value	Count	Frequency (%)
	14	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	2	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	471	89.4%
Common	56	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	262	55.6%
a	135	28.7%
e	14	3.0%
o	10	2.1%
i	6	1.3%
R	4	0.8%
c	4	0.8%
l	4	0.8%
u	4	0.8%
K	4	0.8%
Other values (11)	24	5.1%

Common

Value	Count	Frequency (%)
'	24	42.9%
	14	25.0%
:	6	10.7%
,	6	10.7%
{	2	3.6%
/	2	3.6%
}	2	3.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	527	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	262	49.7%
a	135	25.6%
'	24	4.6%
e	14	2.7%
	14	2.7%
o	10	1.9%
i	6	1.1%
:	6	1.1%
,	6	1.1%
R	4	0.8%
Other values (18)	46	8.7%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	61
Distinct (%)	46.6%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

nan	11
<p>This series centers on <b>Loudermilk </b>who is a recovering alcoholic and substance-abuse counselor with an extremely bad attitude about everything. He is unapologetically uncensored and has managed to piss off everyone. Although he has his drinking under control, Loudermilk's life is one step forward and 12 steps backwards.</p>	10
<p>Antique and classic car dealer Drew Pritchard, motoring broadcaster Andy Jaye and racing driver Marino Franchitti set out to discover the greatest racing cars of all time.</p>	10
<p><b>Chilling Adventures of Sabrina</b> reimagines the origin & adventures of Sabrina the Teenage Witch as a dark coming-of-age story that traffics in horror, the occult and, of course, witchcraft. This adaptation finds Sabrina wrestling to reconcile her dual nature —half-witch, half-mortal — while standing against the evil forces that threaten her, her family and the daylight world humans inhabit.</p>	8
<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>	6
Other values (56)	86

Length

Max length	1261
Median length	729
Mean length	417.0687023
Min length	3

Characters and Unicode

Total characters	54636
Distinct characters	87
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	39 ?
Unique (%)	29.8%

Sample

1st row	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>
2nd row	<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>
3rd row	<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>
4th row	nan
5th row	<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>

Common Values

Value	Count	Frequency (%)
nan	11	8.4%
<p>This series centers on <b>Loudermilk </b>who is a recovering alcoholic and substance-abuse counselor with an extremely bad attitude about everything. He is unapologetically uncensored and has managed to piss off everyone. Although he has his drinking under control, Loudermilk's life is one step forward and 12 steps backwards.</p>	10	7.6%
<p>Antique and classic car dealer Drew Pritchard, motoring broadcaster Andy Jaye and racing driver Marino Franchitti set out to discover the greatest racing cars of all time.</p>	10	7.6%
<p><b>Chilling Adventures of Sabrina</b> reimagines the origin & adventures of Sabrina the Teenage Witch as a dark coming-of-age story that traffics in horror, the occult and, of course, witchcraft. This adaptation finds Sabrina wrestling to reconcile her dual nature —half-witch, half-mortal — while standing against the evil forces that threaten her, her family and the daylight world humans inhabit.</p>	8	6.1%
<p>Lin Luojing enters the XR system due to a technology competition, and time-travels to the Sheng Yuan Dynasty of the game. To return back to reality, she has to find her true love and max the "favorability points". In the midst of exchanging tactics with arrogant prince Zhong Wu Mei, her former personal guard Liu Xiu Wen returns to the capital, this time with a new identity as the Persian Prince. Liu Xiu Wen vows to wage war on Zhong Wuyan. Facing both internal and external crises and conflicts, how will Lin Luojing resolve it and embark on her journey back home?</p>	6	4.6%
<p>Young noble Chu Yun Xiao crosses paths with female doctor Leng Xing Chen because of a beauty portrait. Together with their friends, the six people who are pulled into a terrifying conspiracy form a detective team to uncover the secrets surrounding the portrait. Chu Yunxiao has ventured into the pugilistic world for the first time. Aspiring to be a chivalrous hero, he relies on his outstanding martial arts skills and high intelligence to solve a difficult case. However, he unexpectedly discovers that he is also a chess piece in this dangerous game. As the fog is slowly lifted, Chu Yun Xiao becomes aware of an unbearable truth that the past twenty years of his life was nothing but a lie.</p>	6	4.6%
<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	6	4.6%
<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	6	4.6%
<p>Built at strategic points, and fitted with impressive fortifications and ingenious systems to counter attacks, fortresses are thought to be impenetrable. And yet, certain skillful warlords have successfully stormed them. How did they manage this?</p><p>By recounting how some of the most remarkable sieges - in ancient times or in medieval history - played out, this series revisits the construction of these megastructures and reveals the different strategies used to lay or to endure a siege. Thanks to CGI, dramatized scenes, and with the help of key experts, it immerses us in the compelling confrontation between the construction genius of the military strategists and the ingenuity of some exceptional warriors.</p>	3	2.3%
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>	2	1.5%
Other values (51)	63	48.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	525	5.8%
and	322	3.5%
of	259	2.8%
to	251	2.8%
a	244	2.7%
in	149	1.6%
is	132	1.4%
her	119	1.3%
with	100	1.1%
his	82	0.9%
Other values (1772)	6926	76.0%

Most occurring characters

Value	Count	Frequency (%)
	8970	16.4%
e	5017	9.2%
t	3539	6.5%
a	3504	6.4%
n	3264	6.0%
i	3196	5.8%
o	2945	5.4%
r	2778	5.1%
s	2671	4.9%
h	2326	4.3%
Other values (77)	16426	30.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	41712	76.3%
Space Separator	8978	16.4%
Uppercase Letter	1617	3.0%
Other Punctuation	1339	2.5%
Math Symbol	764	1.4%
Dash Punctuation	125	0.2%
Decimal Number	69	0.1%
Format	14	< 0.1%
Close Punctuation	9	< 0.1%
Open Punctuation	9	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	5017	12.0%
t	3539	8.5%
a	3504	8.4%
n	3264	7.8%
i	3196	7.7%
o	2945	7.1%
r	2778	6.7%
s	2671	6.4%
h	2326	5.6%
l	1711	4.1%
Other values (20)	10761	25.8%

Uppercase Letter

Value	Count	Frequency (%)
T	182	11.3%
S	158	9.8%
A	116	7.2%
W	115	7.1%
L	113	7.0%
Y	97	6.0%
X	95	5.9%
C	80	4.9%
H	74	4.6%
M	72	4.5%
Other values (16)	515	31.8%

Other Punctuation

Value	Count	Frequency (%)
,	504	37.6%
.	436	32.6%
/	199	14.9%
'	78	5.8%
"	32	2.4%
;	23	1.7%
?	23	1.7%
!	18	1.3%
:	16	1.2%
&	9	0.7%

Decimal Number

Value	Count	Frequency (%)
1	18	26.1%
2	17	24.6%
0	15	21.7%
9	5	7.2%
5	4	5.8%
6	3	4.3%
3	2	2.9%
7	2	2.9%
4	2	2.9%
8	1	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	98	78.4%
—	25	20.0%
–	2	1.6%

Space Separator

Value	Count	Frequency (%)
	8970	99.9%
	8	0.1%

Math Symbol

Value	Count	Frequency (%)
<	382	50.0%
>	382	50.0%

Format

Value	Count	Frequency (%)
‎	14	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	9	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	9	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	43329	79.3%
Common	11307	20.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	5017	11.6%
t	3539	8.2%
a	3504	8.1%
n	3264	7.5%
i	3196	7.4%
o	2945	6.8%
r	2778	6.4%
s	2671	6.2%
h	2326	5.4%
l	1711	3.9%
Other values (46)	12378	28.6%

Common

Value	Count	Frequency (%)
	8970	79.3%
,	504	4.5%
.	436	3.9%
<	382	3.4%
>	382	3.4%
/	199	1.8%
-	98	0.9%
'	78	0.7%
"	32	0.3%
—	25	0.2%
Other values (21)	201	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	54583	99.9%
Punctuation	41	0.1%
None	12	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	8970	16.4%
e	5017	9.2%
t	3539	6.5%
a	3504	6.4%
n	3264	6.0%
i	3196	5.9%
o	2945	5.4%
r	2778	5.1%
s	2671	4.9%
h	2326	4.3%
Other values (69)	16373	30.0%

Punctuation

Value	Count	Frequency (%)
—	25	61.0%
‎	14	34.1%
–	2	4.9%

None

Value	Count	Frequency (%)
	8	66.7%
ê	1	8.3%
ã	1	8.3%
ö	1	8.3%
å	1	8.3%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	71
Distinct (%)	54.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1634629291

Minimum	1607964656
Maximum	1652016543
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 KiB

Quantile statistics

Minimum	1607964656
5-th percentile	1609651676
Q1	1614901805
median	1639070620
Q3	1649692446
95-th percentile	1651863266
Maximum	1652016543
Range	44051887
Interquartile range (IQR)	34790641.5

Descriptive statistics

Standard deviation	16257932.35
Coefficient of variation (CV)	0.009945944586
Kurtosis	-1.382919892
Mean	1634629291
Median Absolute Deviation (MAD)	11552031
Skewness	-0.5222516509
Sum	2.141364371 × 10¹¹
Variance	2.643203642 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1633453569	10	7.6%
1611132125	10	7.6%
1651485358	8	6.1%
1651863266	6	4.6%
1650622651	6	4.6%
1609651676	6	4.6%
1638411895	6	4.6%
1639070620	3	2.3%
1614461893	2	1.5%
1610506687	2	1.5%
Other values (61)	72	55.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1607964656	1	0.8%
1609438777	1	0.8%
1609468403	2	1.5%
1609648885	1	0.8%
1609651676	6	4.6%
1609799896	2	1.5%
1610110841	1	0.8%
1610506687	2	1.5%
1611132125	10	7.6%
1611509062	1	0.8%

Value	Count	Frequency (%)
1652016543	1	0.8%
1652004759	1	0.8%
1651981343	1	0.8%
1651863266	6	4.6%
1651838647	1	0.8%
1651485358	8	6.1%
1651416025	1	0.8%
1651181655	1	0.8%
1650860272	1	0.8%
1650735091	1	0.8%

_links_self_href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct	131
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	1.1 KiB

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2001669	1
https://api.tvmaze.com/episodes/2001667	1
https://api.tvmaze.com/episodes/2001666	1
https://api.tvmaze.com/episodes/2001665	1
Other values (126)	126

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	5109
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	131 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.8%
https://api.tvmaze.com/episodes/2001669	1	0.8%
https://api.tvmaze.com/episodes/2001667	1	0.8%
https://api.tvmaze.com/episodes/2001666	1	0.8%
https://api.tvmaze.com/episodes/2001665	1	0.8%
https://api.tvmaze.com/episodes/2000073	1	0.8%
https://api.tvmaze.com/episodes/2000072	1	0.8%
https://api.tvmaze.com/episodes/1997538	1	0.8%
https://api.tvmaze.com/episodes/1997537	1	0.8%
https://api.tvmaze.com/episodes/1988405	1	0.8%
Other values (121)	121	92.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	0.8%
https://api.tvmaze.com/episodes/2312225	1	0.8%
https://api.tvmaze.com/episodes/1964000	1	0.8%
https://api.tvmaze.com/episodes/1995405	1	0.8%
https://api.tvmaze.com/episodes/2007760	1	0.8%
https://api.tvmaze.com/episodes/1985789	1	0.8%
https://api.tvmaze.com/episodes/2039622	1	0.8%
https://api.tvmaze.com/episodes/2039623	1	0.8%
https://api.tvmaze.com/episodes/2324427	1	0.8%
https://api.tvmaze.com/episodes/2324428	1	0.8%
Other values (121)	121	92.4%

Most occurring characters

Value	Count	Frequency (%)
/	524	10.3%
p	393	7.7%
s	393	7.7%
e	393	7.7%
t	393	7.7%
o	262	5.1%
a	262	5.1%
i	262	5.1%
.	262	5.1%
m	262	5.1%
Other values (16)	1703	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3275	64.1%
Other Punctuation	917	17.9%
Decimal Number	917	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	393	12.0%
s	393	12.0%
e	393	12.0%
t	393	12.0%
o	262	8.0%
a	262	8.0%
i	262	8.0%
m	262	8.0%
h	131	4.0%
d	131	4.0%
Other values (3)	393	12.0%

Decimal Number

Value	Count	Frequency (%)
2	142	15.5%
9	141	15.4%
0	124	13.5%
1	111	12.1%
3	78	8.5%
6	74	8.1%
8	71	7.7%
4	61	6.7%
7	60	6.5%
5	55	6.0%

Other Punctuation

Value	Count	Frequency (%)
/	524	57.1%
.	262	28.6%
:	131	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3275	64.1%
Common	1834	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	524	28.6%
.	262	14.3%
2	142	7.7%
9	141	7.7%
:	131	7.1%
0	124	6.8%
1	111	6.1%
3	78	4.3%
6	74	4.0%
8	71	3.9%
Other values (3)	176	9.6%

Latin

Value	Count	Frequency (%)
p	393	12.0%
s	393	12.0%
e	393	12.0%
t	393	12.0%
o	262	8.0%
a	262	8.0%
i	262	8.0%
m	262	8.0%
h	131	4.0%
d	131	4.0%
Other values (3)	393	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5109	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	524	10.3%
p	393	7.7%
s	393	7.7%
e	393	7.7%
t	393	7.7%
o	262	5.1%
a	262	5.1%
i	262	5.1%
.	262	5.1%
m	262	5.1%
Other values (16)	1703	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1977902	https://www.tvmaze.com/episodes/1977902/obycnaa-zensina-2x06-seria-15	Серия 15	2.0	6.0	regular	2020-12-31	10:00	2020-12-30T22:00:00+00:00	56.0	nan	39115	https://www.tvmaze.com/shows/39115/obycnaa-zensina	Обычная женщина	Scripted	Russian	['Drama', 'Crime', 'Mystery']	Ended	50.0	48.0	2018-10-29	2021-01-07	https://premier.one/show/8405	36.0	nan	<p>Marina is in her late 30s, she has a successful business and a close-knit family. Her husband is a surgeon and her daughters study at fancy establishments. To everybody her life seems perfect. Though, it is all just a facade concealing the real problems: her husband has a mistress, her elder daughter is a slacker and drug-dealer, her youngest is a sociopath. Well, Marina herself is not really a flower-lady, but a brothel-keeper who is hiding her dark business from everyone. The truth may come out when a girl of Marina's is found dead.</p>	1.610111e+09	https://api.tvmaze.com/episodes/1977902
1	2015818	https://www.tvmaze.com/episodes/2015818/po-sezonu-videodajdzest-seasonvar-6x53-vypusk-307	Выпуск 307	6.0	53.0	regular	2020-12-31	nan	2020-12-31T00:00:00+00:00	9.0	nan	7847	https://www.tvmaze.com/shows/7847/po-sezonu-videodajdzest-seasonvar	По сезону. Видеодайджест Seasonvar	Talk Show	Russian	[]	Running	9.0	9.0	2015-02-13	nan	http://seasonvar.ru/serial-11488-Po_sezonu_Videodajdzhest_Seasonvar.html	28.0	nan	<p>Weekly videodaydzhest on site seasonvar.ru and creative team viruseproject.tv. In ten minutes, we talk about the most important events of the past week: look down on the set is not yet published projects, sharing the secrets of private life actors consider the prospects for the development of genres and discuss news TV industry! In videodaydzheste you will find only reliable information from Russian and foreign publications, as well as take part in choosing the best show of the month! Our weekly news videodaydzhest will suit every viewer, so gather good company with family and friends, as well as stock up on popcorn - these ten minutes you shock, delight and inform the latest news about your favorite TV projects!</p>	1.651182e+09	https://api.tvmaze.com/episodes/2015818
2	1964000	https://www.tvmaze.com/episodes/1964000/257-pricin-ctoby-zit-2x10-seria-23	Серия 23	2.0	10.0	regular	2020-12-31	nan	2020-12-31T00:00:00+00:00	25.0	nan	43722	https://www.tvmaze.com/shows/43722/257-pricin-ctoby-zit	257 причин, чтобы жить	Scripted	Russian	['Drama', 'Comedy']	Ended	25.0	24.0	2020-03-26	2021-01-21	https://start.ru/watch/257-prichin-chtoby-zhit	38.0	nan	<p>When terminal cancer patient Zhenya unexpectedly receives a clean bill of health, she can't believe it. She's in remission. But then her life implodes. Homeless, unemployed, and newly single - she stumbles across a list she wrote while she was sick of things she wanted to do when she got better. 257 of them - and now she won't give up until she checks off them all!</p>	1.617284e+09	https://api.tvmaze.com/episodes/1964000
3	1995405	https://www.tvmaze.com/episodes/1995405/proekt-anna-nikolaevna-s02-special-nacalo	Начало	2.0	NaN	significant_special	2020-12-31	nan	2020-12-31T00:00:00+00:00	67.0	nan	46688	https://www.tvmaze.com/shows/46688/proekt-anna-nikolaevna	Проект "Анна Николаевна"	Scripted	Russian	['Drama', 'Comedy', 'Science-Fiction']	To Be Determined	50.0	50.0	2020-03-26	nan	https://hd.kinopoisk.ru/film/48ec62883cb1bfc8a65154fcd3749b72	40.0	nan	nan	1.649796e+09	https://api.tvmaze.com/episodes/1995405
4	2007760	https://www.tvmaze.com/episodes/2007760/stand-up-autsajd-1x12-aroslav-kondrasov	Ярослав Кондрашов	1.0	12.0	regular	2020-12-31	12:00	2020-12-31T00:00:00+00:00	17.0	nan	51065	https://www.tvmaze.com/shows/51065/stand-up-autsajd	Stand Up Аутсайд	Variety	Russian	[]	Ended	40.0	28.0	2020-10-13	2020-12-31	https://premier.one/show/13734	3.0	nan	<p>Solo performances of stand-up comedians from the underground and popular TV and Internet projects. Each new release is a new concert with its own atmosphere and humor.</p>	1.616719e+09	https://api.tvmaze.com/episodes/2007760
5	1985789	https://www.tvmaze.com/episodes/1985789/theres-a-pit-in-my-senior-martial-brothers-brain-2x11-episode-11	Episode 11	2.0	11.0	regular	2020-12-31	11:00	2020-12-31T03:00:00+00:00	20.0	nan	38031	https://www.tvmaze.com/shows/38031/theres-a-pit-in-my-senior-martial-brothers-brain	There's a Pit in My Senior Martial Brother's Brain	Animation	Chinese	['Comedy', 'Action', 'Adventure', 'Anime']	Running	20.0	10.0	2018-04-04	nan	https://www.bilibili.com/bangumi/media/md17632/	23.0	nan	nan	1.607965e+09	https://api.tvmaze.com/episodes/1985789
6	2039622	https://www.tvmaze.com/episodes/2039622/witches-1x05-episode-5	Episode 5	1.0	5.0	regular	2020-12-31	nan	2020-12-31T03:00:00+00:00	30.0	nan	53830	https://www.tvmaze.com/shows/53830/witches	Witches	Variety	Korean	['Sports']	Ended	30.0	30.0	2020-12-17	2021-01-14	https://www.wavve.com/player/vod?programid=C9901_C99000000047&page=1	15.0	nan	<p>Yoon Bo Mi of Apink Comedian Kim Min Kyoung, the former rhythmic gymnast Shin Soo Ji, Cheerleader Park Ki Ryang, Anchorwoman Park Ji Young, and Actress Kang So Yeon are huge fans of baseball. They come together to actually try playing baseball themselves instead of just watching it. Although they all work in different industries, they unite thanks to their mutual love of the sport. Together, they strive to compete against other amateur teams. Will their earnest desire to work together and their ambition to win make all the difference? How will they grow together as a team?</p>	1.614462e+09	https://api.tvmaze.com/episodes/2039622
7	2039623	https://www.tvmaze.com/episodes/2039623/witches-1x06-episode-6	Episode 6	1.0	6.0	regular	2020-12-31	nan	2020-12-31T03:00:00+00:00	30.0	nan	53830	https://www.tvmaze.com/shows/53830/witches	Witches	Variety	Korean	['Sports']	Ended	30.0	30.0	2020-12-17	2021-01-14	https://www.wavve.com/player/vod?programid=C9901_C99000000047&page=1	15.0	nan	<p>Yoon Bo Mi of Apink Comedian Kim Min Kyoung, the former rhythmic gymnast Shin Soo Ji, Cheerleader Park Ki Ryang, Anchorwoman Park Ji Young, and Actress Kang So Yeon are huge fans of baseball. They come together to actually try playing baseball themselves instead of just watching it. Although they all work in different industries, they unite thanks to their mutual love of the sport. Together, they strive to compete against other amateur teams. Will their earnest desire to work together and their ambition to win make all the difference? How will they grow together as a team?</p>	1.614462e+09	https://api.tvmaze.com/episodes/2039623
8	2324427	https://www.tvmaze.com/episodes/2324427/unique-lady-2x15-episode-15	Episode 15	2.0	15.0	regular	2020-12-31	12:00	2020-12-31T04:00:00+00:00	40.0	nan	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	['Drama', 'Comedy', 'Romance']	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html	68.0	nan	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1.651863e+09	https://api.tvmaze.com/episodes/2324427
9	2324428	https://www.tvmaze.com/episodes/2324428/unique-lady-2x16-episode-16	Episode 16	2.0	16.0	regular	2020-12-31	12:00	2020-12-31T04:00:00+00:00	40.0	nan	41490	https://www.tvmaze.com/shows/41490/unique-lady	Unique Lady	Scripted	Chinese	['Drama', 'Comedy', 'Romance']	Ended	38.0	42.0	2019-01-17	2021-01-07	http://www.iqiyi.com/a_19rrhvpyyp.html	68.0	nan	<p>Lin Luo Jing accidentally gets drawn into a game world where she is the daughter of the prime minister and meets all kind of beautiful men with different personalities. Among them are a sword deity, an imperial bodyguard, a playful rich man and an arrogant prince. The system informs her that she can only return to the real world after she finds her true love. While there seems tobe an abundance of good men around Luo Jing, there is one man she can't stand at all: the prince of the barbarian Yuan Kingdom Zhong Wu Mei. But out of all men, she ends up in an arranged marriage with Wu Mei.</p><p>Thus begins their love-hate relationship and her journey to find true love in order to win the game.</p>	1.651863e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
121	2234297	https://www.tvmaze.com/episodes/2234297/forteresses-assiegees-batailles-de-legende-1x03-the-siege-of-orleans-joans-fortress	The Siege of Orléans, Joan's Fortress	1.0	3.0	regular	2020-12-31	nan	2020-12-31T17:00:00+00:00	51.0	<p>It is the most striking event in the Hundred Year War. Between 1428 and 1429, Orleans was subject to a violent and pitiless siege. Hidden away in the extraordinary walled enclosure, for 7 months, the French resisted an English army that was bent on conquering this strategic city on the Loire River.</p>	59380	https://www.tvmaze.com/shows/59380/forteresses-assiegees-batailles-de-legende	Forteresses assiégées, batailles de légende	Documentary	French	[]	Running	51.0	52.0	2020-12-31	nan	https://www.zed.fr/fr/tv/distribution/catalogue/programme/forteresses-assiegees-batailles-de-legende	1.0	nan	<p>Built at strategic points, and fitted with impressive fortifications and ingenious systems to counter attacks, fortresses are thought to be impenetrable. And yet, certain skillful warlords have successfully stormed them. How did they manage this?</p><p>By recounting how some of the most remarkable sieges - in ancient times or in medieval history - played out, this series revisits the construction of these megastructures and reveals the different strategies used to lay or to endure a siege. Thanks to CGI, dramatized scenes, and with the help of key experts, it immerses us in the compelling confrontation between the construction genius of the military strategists and the ingenuity of some exceptional warriors.</p>	1.639071e+09	https://api.tvmaze.com/episodes/2234297
122	2236494	https://www.tvmaze.com/episodes/2236494/notruf-hafenkante-15x13-nur-ein-atemzug	Nur ein Atemzug	15.0	13.0	regular	2020-12-31	19:25	2020-12-31T18:25:00+00:00	45.0	nan	17046	https://www.tvmaze.com/shows/17046/notruf-hafenkante	Notruf Hafenkante	Scripted	German	['Drama', 'Crime']	Running	45.0	50.0	2007-01-04	nan	https://www.zdf.de/serien/notruf-hafenkante	4.0	nan	nan	1.645352e+09	https://api.tvmaze.com/episodes/2236494
123	1977423	https://www.tvmaze.com/episodes/1977423/goede-tijden-slechte-tijden-31x72-aflevering-6327	Aflevering 6327	31.0	72.0	regular	2020-12-31	20:00	2020-12-31T19:00:00+00:00	23.0	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/1977423
124	1976649	https://www.tvmaze.com/episodes/1976649/wwe-nxt-uk-2020-12-31-episode-53	Episode 53	2020.0	53.0	regular	2020-12-31	15:00	2020-12-31T20:00:00+00:00	60.0	nan	39053	https://www.tvmaze.com/shows/39053/wwe-nxt-uk	WWE NXT UK	Sports	English	[]	Running	60.0	60.0	2018-10-17	nan	nan	84.0	nan	<p>The one-hour episodes will feature the biggest names from NXT UK, including Pete Dunne, Mark Andrews, Rhea Ripley, Toni Storm, Tyler Bate, Trent Seven and Wolfgang. Joining the NXT UK broadcasting team as backstage interviewer is British broadcasting personality Radzi Chinyanganya, best known for hosting ITV game show "Cannonball," and in his ongoing role as a presenter of the world's longest-running children's TV show, the BBC's "Blue Peter." Calling the action are commentators Nigel McGuinness and Vic Joseph, joined by ring announcer Andy Shepherd and NXT UK General Manager, the legendary Johnny Saint.</p>	1.652005e+09	https://api.tvmaze.com/episodes/1976649
125	2005096	https://www.tvmaze.com/episodes/2005096/carl-webers-the-family-business-2x07-take-no-prisoners	Take No Prisoners	2.0	7.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	<p>Brother X has missed on his attempt to kill LC and Chippy. However things are far from over now that he unknowingly has captured a Duncan.</p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005096
126	2005098	https://www.tvmaze.com/episodes/2005098/carl-webers-the-family-business-2x08-the-nuclear-option	The Nuclear Option	2.0	8.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	<p>The war heats up as the Duncans deploy the nuclear option, shutting down HEAT and recruiting allies. Paris finally takes responsibility for her actions.</p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005098
127	2005099	https://www.tvmaze.com/episodes/2005099/carl-webers-the-family-business-2x09-mothers-and-their-sons	Mothers and Their Sons	2.0	9.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	<p>Junior and Sonya make landfall in Cuba. Chippy and Nevada take a trip. Consuela seeks protection from her husband Alejandro. Who is Sage?</p><p> </p><p><br /> </p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005099
128	2005100	https://www.tvmaze.com/episodes/2005100/carl-webers-the-family-business-2x10-i-dont-want-to-lose-my-queen	I Don't Want to Lose My Queen	2.0	10.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	<p>Brother X begins to unravel. Sasha and Elijah play an enlightening game of chess. What does Billionaire Alexander Cora want?</p><p> </p><p><br /> </p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005100
129	2005101	https://www.tvmaze.com/episodes/2005101/carl-webers-the-family-business-2x11-deploy-the-drones	Deploy the Drones	2.0	11.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	<p>The war between the Duncans and Brother X is finally coming to a conclusion and the Duncans are back to business as usual.</p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005101
130	2005102	https://www.tvmaze.com/episodes/2005102/carl-webers-the-family-business-2x12-the-hunt-for-brother-x	The Hunt for Brother X	2.0	12.0	regular	2020-12-31	21:00	2021-01-01T02:00:00+00:00	60.0	<p>LC must decide Elijah's fate as his sons hunt down a deranged Brother X. Meanwhile Billionaire Alexander Cora plots against the unsuspecting Duncans to takeover HEAT.</p>	39441	https://www.tvmaze.com/shows/39441/carl-webers-the-family-business	Carl Weber's The Family Business	Scripted	English	['Drama', 'Crime', 'Thriller']	Running	60.0	60.0	2018-11-13	nan	https://www.bet.plus/shows/the-family-business	93.0	nan	<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>	1.638412e+09	https://api.tvmaze.com/episodes/2005102

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